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- University of California, Berkeley
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+ University of California, Berkeley
+MPI for Intelligent Systems, Tübingen, Germany
University of Maryland, College Park
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Human
Mesh Recovery (HMR): End-to-end adversarial learning of human pose and shape. We describe a real time framework for recovering the 3D joint angles and shape of the body from a single RGB image. Bottom row shows results from a model trained without using any coupled 2D-to-3D supervision. We infer the full 3D body even in case of occlusions and truncations. Note that we capture head and limb orientations.
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-Abstract
+We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full
+3D mesh of a human body from a single RGB image.
+In contrast to most current methods that compute 2D or 3D joint
+locations, we produce a richer and more useful mesh representation that is
+parameterized by shape and 3D joint angles. The main objective is to minimize
+the reprojection loss of keypoints, which allow our model to be trained using \emph{in-the-wild} images that only have
+ground truth 2D annotations.
+However, reprojection loss alone is highly under constrained.
+In this work we address this problem by introducing an adversary trained to
+tell whether a human body parameter is real or not using a large database of
+3D human meshes. We show that HMR can be trained with and without using
+ any paired 2D-to-3D supervision. We do not rely on intermediate 2D
+ keypoint detection and infer 3D pose and shape parameters directly
+ from image pixels. Our model runs in real-time given a bounding box
+ containing the person. We demonstrate our approach on various images in-the-wild and out-perform previous optimization-based
+methods that output 3D meshes and show competitive results on tasks such as 3D joint location estimation and part segmentation.
Paper
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- Kanazawa, Black, Jacobs, Malik.
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+ | Angjoo Kanazawa, Michael
+ J. Black, David W. Jacobs, Jitendra Malik.
End-to-end Recovery of Human Shape and Pose
arXiv, Dec 2017.
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- Acknowledgements
-This webpage template was borrowed from
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